Itzik Malkiel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

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Publications

Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
In Search of Truth: An Interrogation Approach to Hallucination Detection. CoRR (2024)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. ICASSP (2024)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. ACL (1) (2024)
Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, Noam Koenigstein
Unsupervised Topic-Conditional Extractive Summarization. ICASSP (2024)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. ICCV (2023)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. CIKM (2023)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. CoRR (2023)
Gony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI. MIDL (2023)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. CoRR (2023)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CoRR (2023)
Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CoRR (2022)
Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler
Self-Supervised Transformers for fMRI representation. MIDL (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW (2022)
Itzik Malkiel, Lior Wolf
MTAdam: Automatic Balancing of Multiple Training Loss Terms. EMNLP (1) (2021)
Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CIKM (2021)
Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler
Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks. CoRR (2021)
Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CoRR (2021)
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR (2021)
Efrat Blaier, Itzik Malkiel, Lior Wolf
Caption Enriched Samples for Improving Hateful Memes Detection. EMNLP (1) (2021)
Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation. CoRR (2021)
Efrat Blaier, Itzik Malkiel, Lior Wolf
Caption Enriched Samples for Improving Hateful Memes Detection. CoRR (2021)
Itzik Malkiel, Lior Wolf
Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models. EACL (2021)
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. ACL/IJCNLP (Findings) (2021)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CIKM (2021)
Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation. ICCP (2021)
Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CIKM (2021)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI (2020)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Cold Item Recommendations via Hierarchical Item2vec. ICDM (2020)
Itzik Malkiel, Lior Wolf
MTAdam: Automatic Balancing of Multiple Training Loss Terms. CoRR (2020)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR (2019)
Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy
Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction. CoRR (2019)
Itzik Malkiel, Michael Mrejen, Lior Wolf, Haim Suchowski
Spectra2pix: Generating Nanostructure Images from Spectra. CoRR (2019)
Itzik Malkiel, Lior Wolf
MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models. CoRR (2019)
Itzik Malkiel, Michael Mrejen, Achiya Nagler, Uri Arieli, Lior Wolf, Haim Suchowski
Deep learning for the design of nano-photonic structures. ICCP (2018)